{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('train.csv')\n",
    "test = pd.read_csv('test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>...</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 81 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities  ... PoolArea PoolQC Fence MiscFeature MiscVal MoSold  \\\n",
       "0         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "1         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      5   \n",
       "2         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      9   \n",
       "3         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "4         Lvl    AllPub  ...        0    NaN   NaN         NaN       0     12   \n",
       "\n",
       "  YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0   2008        WD         Normal     208500  \n",
       "1   2007        WD         Normal     181500  \n",
       "2   2008        WD         Normal     223500  \n",
       "3   2006        WD        Abnorml     140000  \n",
       "4   2008        WD         Normal     250000  \n",
       "\n",
       "[5 rows x 81 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      1460.000000\n",
       "mean     180921.195890\n",
       "std       79442.502883\n",
       "min       34900.000000\n",
       "25%      129975.000000\n",
       "50%      163000.000000\n",
       "75%      214000.000000\n",
       "max      755000.000000\n",
       "Name: SalePrice, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['SalePrice'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f09aa264e10>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.distplot(train['SalePrice'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1460 entries, 0 to 1459\n",
      "Data columns (total 81 columns):\n",
      "Id               1460 non-null int64\n",
      "MSSubClass       1460 non-null int64\n",
      "MSZoning         1460 non-null object\n",
      "LotFrontage      1201 non-null float64\n",
      "LotArea          1460 non-null int64\n",
      "Street           1460 non-null object\n",
      "Alley            91 non-null object\n",
      "LotShape         1460 non-null object\n",
      "LandContour      1460 non-null object\n",
      "Utilities        1460 non-null object\n",
      "LotConfig        1460 non-null object\n",
      "LandSlope        1460 non-null object\n",
      "Neighborhood     1460 non-null object\n",
      "Condition1       1460 non-null object\n",
      "Condition2       1460 non-null object\n",
      "BldgType         1460 non-null object\n",
      "HouseStyle       1460 non-null object\n",
      "OverallQual      1460 non-null int64\n",
      "OverallCond      1460 non-null int64\n",
      "YearBuilt        1460 non-null int64\n",
      "YearRemodAdd     1460 non-null int64\n",
      "RoofStyle        1460 non-null object\n",
      "RoofMatl         1460 non-null object\n",
      "Exterior1st      1460 non-null object\n",
      "Exterior2nd      1460 non-null object\n",
      "MasVnrType       1452 non-null object\n",
      "MasVnrArea       1452 non-null float64\n",
      "ExterQual        1460 non-null object\n",
      "ExterCond        1460 non-null object\n",
      "Foundation       1460 non-null object\n",
      "BsmtQual         1423 non-null object\n",
      "BsmtCond         1423 non-null object\n",
      "BsmtExposure     1422 non-null object\n",
      "BsmtFinType1     1423 non-null object\n",
      "BsmtFinSF1       1460 non-null int64\n",
      "BsmtFinType2     1422 non-null object\n",
      "BsmtFinSF2       1460 non-null int64\n",
      "BsmtUnfSF        1460 non-null int64\n",
      "TotalBsmtSF      1460 non-null int64\n",
      "Heating          1460 non-null object\n",
      "HeatingQC        1460 non-null object\n",
      "CentralAir       1460 non-null object\n",
      "Electrical       1459 non-null object\n",
      "1stFlrSF         1460 non-null int64\n",
      "2ndFlrSF         1460 non-null int64\n",
      "LowQualFinSF     1460 non-null int64\n",
      "GrLivArea        1460 non-null int64\n",
      "BsmtFullBath     1460 non-null int64\n",
      "BsmtHalfBath     1460 non-null int64\n",
      "FullBath         1460 non-null int64\n",
      "HalfBath         1460 non-null int64\n",
      "BedroomAbvGr     1460 non-null int64\n",
      "KitchenAbvGr     1460 non-null int64\n",
      "KitchenQual      1460 non-null object\n",
      "TotRmsAbvGrd     1460 non-null int64\n",
      "Functional       1460 non-null object\n",
      "Fireplaces       1460 non-null int64\n",
      "FireplaceQu      770 non-null object\n",
      "GarageType       1379 non-null object\n",
      "GarageYrBlt      1379 non-null float64\n",
      "GarageFinish     1379 non-null object\n",
      "GarageCars       1460 non-null int64\n",
      "GarageArea       1460 non-null int64\n",
      "GarageQual       1379 non-null object\n",
      "GarageCond       1379 non-null object\n",
      "PavedDrive       1460 non-null object\n",
      "WoodDeckSF       1460 non-null int64\n",
      "OpenPorchSF      1460 non-null int64\n",
      "EnclosedPorch    1460 non-null int64\n",
      "3SsnPorch        1460 non-null int64\n",
      "ScreenPorch      1460 non-null int64\n",
      "PoolArea         1460 non-null int64\n",
      "PoolQC           7 non-null object\n",
      "Fence            281 non-null object\n",
      "MiscFeature      54 non-null object\n",
      "MiscVal          1460 non-null int64\n",
      "MoSold           1460 non-null int64\n",
      "YrSold           1460 non-null int64\n",
      "SaleType         1460 non-null object\n",
      "SaleCondition    1460 non-null object\n",
      "SalePrice        1460 non-null int64\n",
      "dtypes: float64(3), int64(35), object(43)\n",
      "memory usage: 924.0+ KB\n"
     ]
    }
   ],
   "source": [
    "# from sklearn.impute import SimpleImputer\n",
    "# imp_const = SimpleImputer(missing_values='NA', strategy='constant', fill_value='missing')\n",
    "# loc = train[\"BsmtQual\"][train[\"BsmtQual\"].isnull().values==True].index.tolist()\n",
    "# print(loc)\n",
    "# train = train.drop(loc)\n",
    "# loc = train[\"GarageFinish\"][train[\"GarageFinish\"].isnull().values==True].index.tolist()\n",
    "# print(loc)\n",
    "# train = train.drop(loc)\n",
    "train.info()\n",
    "# train['GarageFinish'] = train['GarageFinish'].dropna()\n",
    "# train[\"BsmtQual\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     1423\n",
       "unique       4\n",
       "top         TA\n",
       "freq       649\n",
       "Name: BsmtQual, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['BsmtQual'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "\n",
    "for x in train.columns:\n",
    "    if pd.api.types.is_numeric_dtype(train[x]) == False:\n",
    "#         train[x].apply(lambda x: pd.to_string(x,errors='missing')) \n",
    "        train[x] = train[x].fillna('missing')\n",
    "        try:\n",
    "            label = preprocessing.LabelEncoder()\n",
    "            train[x] = label.fit_transform(train[x])\n",
    "        except:\n",
    "            print(\"An exception occurred: %s\" % (x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f09a5368358>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation = abs(train.corr())\n",
    "f, ax = plt.subplots(figsize=(20, 9))\n",
    "sns.heatmap(correlation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'MSSubClass', 'MSZoning', 'LotFrontage', 'LotArea', 'Street',\n",
       "       'Alley', 'LotShape', 'LandContour', 'Utilities', 'LotConfig',\n",
       "       'LandSlope', 'Neighborhood', 'Condition1', 'Condition2', 'BldgType',\n",
       "       'HouseStyle', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd',\n",
       "       'RoofStyle', 'RoofMatl', 'Exterior1st', 'Exterior2nd', 'MasVnrType',\n",
       "       'MasVnrArea', 'ExterQual', 'ExterCond', 'Foundation', 'BsmtQual',\n",
       "       'BsmtCond', 'BsmtExposure', 'BsmtFinType1', 'BsmtFinSF1',\n",
       "       'BsmtFinType2', 'BsmtFinSF2', 'BsmtUnfSF', 'TotalBsmtSF', 'Heating',\n",
       "       'HeatingQC', 'CentralAir', 'Electrical', '1stFlrSF', '2ndFlrSF',\n",
       "       'LowQualFinSF', 'GrLivArea', 'BsmtFullBath', 'BsmtHalfBath', 'FullBath',\n",
       "       'HalfBath', 'BedroomAbvGr', 'KitchenAbvGr', 'KitchenQual',\n",
       "       'TotRmsAbvGrd', 'Functional', 'Fireplaces', 'FireplaceQu', 'GarageType',\n",
       "       'GarageYrBlt', 'GarageFinish', 'GarageCars', 'GarageArea', 'GarageQual',\n",
       "       'GarageCond', 'PavedDrive', 'WoodDeckSF', 'OpenPorchSF',\n",
       "       'EnclosedPorch', '3SsnPorch', 'ScreenPorch', 'PoolArea', 'PoolQC',\n",
       "       'Fence', 'MiscFeature', 'MiscVal', 'MoSold', 'YrSold', 'SaleType',\n",
       "       'SaleCondition', 'SalePrice'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1.5, 0, 800000)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# CentralAir\n",
    "var = 'CentralAir'\n",
    "data = pd.concat([train['SalePrice'], train[var]], axis=1)\n",
    "fig = sns.boxplot(x=var, y=\"SalePrice\", data=data)\n",
    "fig.axis(ymin=0, ymax=800000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f09a3a113c8>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.scatter(x=var, y=\"SalePrice\", ylim=(0, 800000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 2.5, 0, 800000)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Alley\n",
    "var = 'Alley'\n",
    "data = pd.concat([train['SalePrice'], train[var]], axis=1)\n",
    "fig = sns.boxplot(x=var, y=\"SalePrice\", data=data)\n",
    "fig.axis(ymin=0, ymax=800000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 'OverallQual', 'YearBuilt', 'YearRemodAdd', 'ExterQual', -----'BsmtQual'----,\n",
    "# 'TotalBsmtSF', ----'1stFlrSF'----, 'GrLivArea', 'FullBath', 'KitchenQual',\n",
    "# 'TotRmsAbvGrd', 'GarageFinish', 'GarageCars', ----'GarageArea'----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "k  = 10\n",
    "cols = correlation.nlargest(k, 'SalePrice')['SalePrice'].index\n",
    "cm = np.corrcoef(train[cols].values.T)\n",
    "sns.set(font_scale=1)\n",
    "f, ax = plt.subplots(figsize=(20, 9))\n",
    "hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "from sklearn import linear_model, svm, gaussian_process\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "# from sklearn.cross_validation import train_test_split\n",
    "from sklearn.model_selection import train_test_split\n",
    "# import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['OverallQual', 'YearBuilt', 'YearRemodAdd', 'ExterQual', 'TotalBsmtSF', 'GrLivArea', 'FullBath', 'KitchenQual', 'TotRmsAbvGrd', 'GarageCars']\n",
    "x = train[cols].values\n",
    "y = train['SalePrice'].values\n",
    "x_scaled = preprocessing.StandardScaler().fit_transform(x)\n",
    "y_scaled = preprocessing.StandardScaler().fit_transform(y.reshape(-1,1))\n",
    "X_train,X_test, y_train, y_test = train_test_split(x_scaled, y_scaled, test_size=0.33, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tf-boys/.local/lib/python3.6/site-packages/sklearn/utils/validation.py:724: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "/home/tf-boys/.local/lib/python3.6/site-packages/sklearn/svm/base.py:193: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "svm cost:-18.068447769017148\n",
      "RandomForestRegressor cost:-1.6738458847777173\n",
      "BayesianRidge cost:-13.939416966813127\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tf-boys/.local/lib/python3.6/site-packages/sklearn/utils/validation.py:724: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    }
   ],
   "source": [
    "clfs = {\n",
    "        'svm':svm.SVR(), \n",
    "        'RandomForestRegressor':RandomForestRegressor(n_estimators=400),\n",
    "        'BayesianRidge':linear_model.BayesianRidge()\n",
    "       }\n",
    "for clf in clfs:\n",
    "    try:\n",
    "        clfs[clf].fit(X_train, y_train)\n",
    "        y_pred = clfs[clf].predict(X_test)\n",
    "        print(clf + \" cost:\" + str(np.sum(y_pred-y_test)/len(y_pred)) )\n",
    "    except Exception as e:\n",
    "        print(clf + \" Error:\")\n",
    "        print(str(e))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-4.40235375e-01,  1.68831715e+00, -8.45177493e-01, -2.45523465e-01,\n",
       "        1.54911566e+00, -1.15867025e+00,  4.92631174e-01, -2.31962278e-01,\n",
       "       -1.16176918e+00, -6.38395503e-01, -5.47424492e-01, -8.30064028e-01,\n",
       "       -7.46420306e-01,  3.64859477e-01,  6.66355042e-02, -5.61219697e-01,\n",
       "        2.56316170e-01, -5.29516585e-01, -8.50949061e-01,  2.69603570e-01,\n",
       "        5.08247810e-02,  2.97180867e-01, -6.34089710e-02, -7.00507478e-01,\n",
       "        1.95550483e-01, -2.83084158e-01,  1.44827556e-01, -8.91046299e-01,\n",
       "       -7.71011761e-03,  1.84090441e-01, -9.18535199e-01,  7.39146599e-01,\n",
       "        2.76732306e-01, -8.61589537e-01,  9.53261156e-01, -4.90109917e-01,\n",
       "       -1.75289310e-01,  4.78398033e-01,  1.63567461e+00, -1.12510717e+00,\n",
       "       -6.08463524e-01,  7.83283160e-01, -7.29845021e-01,  2.68897344e+00,\n",
       "       -5.99101205e-01, -5.41328684e-01, -7.89904628e-01, -7.30984969e-01,\n",
       "        2.72032850e+00, -5.61286680e-01, -8.14710282e-01,  1.98712320e-01,\n",
       "       -9.35206599e-01,  1.53131196e+00, -4.83496763e-01,  6.90961336e-01,\n",
       "        1.73262857e-01, -1.39037315e-01, -3.66542672e-01, -8.87302036e-01,\n",
       "       -1.27845180e+00, -3.35953553e-01,  1.60093549e+00,  1.23278912e+00,\n",
       "        1.26237775e+00,  8.53110350e-01, -9.90489222e-01,  1.65122698e+00,\n",
       "       -7.87851474e-01, -1.93897054e-01, -6.52580324e-01, -6.34294527e-01,\n",
       "       -9.18623948e-01, -1.04779634e+00,  2.88091149e+00, -2.86336215e-02,\n",
       "        1.65508659e+00,  1.31400309e+00, -5.63190339e-01, -9.11726765e-01,\n",
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       "       -6.38407315e-05, -6.01041041e-01, -5.17036346e-01,  2.17624990e-01,\n",
       "       -5.88622430e-01,  3.19105268e+00,  9.43461979e-02, -5.09028758e-01,\n",
       "        1.67531871e-01,  2.57113822e+00,  1.00920770e-01, -2.02351206e-01,\n",
       "        3.45335206e-01, -6.15044224e-01, -1.72675678e-01,  5.95910249e-01,\n",
       "       -6.28492489e-01, -3.93586335e-01, -7.93220998e-01, -2.97606789e-01,\n",
       "        5.87644634e-01, -3.52078609e-01, -7.56218843e-01,  6.11770368e-02,\n",
       "        1.89684285e+00,  1.89677450e+00,  9.20061443e-01, -3.15056114e-01,\n",
       "       -7.05863800e-01, -1.07979545e+00, -6.63782344e-02,  4.40552911e-01,\n",
       "       -8.79474738e-02,  1.24561310e+00,  1.59044833e-01,  2.83514596e-01,\n",
       "       -4.25653195e-01,  1.57317289e+00, -8.49025716e-01, -9.27602727e-01,\n",
       "       -7.50258206e-01, -7.34825461e-01,  4.65042149e-01,  1.37754824e+00,\n",
       "       -5.33738674e-01, -8.31418392e-01, -9.64197968e-01,  3.95264182e-01,\n",
       "       -8.23498310e-01,  1.55813703e-01])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clfs['svm'].predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-3.32696578e-01],\n",
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       "       [-1.50112096e-01]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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